Nowadays, User-Generated Content (UGC) spreads across social media through Web 2.0 technologies, in the absence of traditional trusted third parties that can verify its credibility. The issue of assessing the credibility of UGC is a recent research topic, which has been tackled by many approaches as a classification problem: information is automatically categorized into genuine and fake, usually by employing data-driven solutions, based on Machine Learning (ML) techniques. In this paper, to address some open issues concerning the use of ML, and to give to the decision maker a major control on the process of UGC credibility assessment, the importance that the Multi-Criteria Decision Making (MCDM) paradigm can have in association with the use of aggregation operators is discussed. Some potential aggregation schemes and their properties are illustrated, as well as some interesting research directions

Pasi, G., Viviani, M. (2018). Application of aggregation operators to assess the credibility of user-generated content in social media. In Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations (pp.342-353). Springer Verlag [10.1007/978-3-319-91473-2_30].

Application of aggregation operators to assess the credibility of user-generated content in social media

Pasi, G;Viviani, M
2018

Abstract

Nowadays, User-Generated Content (UGC) spreads across social media through Web 2.0 technologies, in the absence of traditional trusted third parties that can verify its credibility. The issue of assessing the credibility of UGC is a recent research topic, which has been tackled by many approaches as a classification problem: information is automatically categorized into genuine and fake, usually by employing data-driven solutions, based on Machine Learning (ML) techniques. In this paper, to address some open issues concerning the use of ML, and to give to the decision maker a major control on the process of UGC credibility assessment, the importance that the Multi-Criteria Decision Making (MCDM) paradigm can have in association with the use of aggregation operators is discussed. Some potential aggregation schemes and their properties are illustrated, as well as some interesting research directions
paper
Aggregation operators; Credibility; Multi-criteria decision making; User-generated content; Computer Science (all); Mathematics (all)
English
International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2018
2018
Pasi, G; Viviani, M
Medina, J; OjedaAciego, M; Verdegay, JL; Pelta, DA; Cabrera, IP; BouchonMeunier, B; Yager, RR
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
978-3-319-91472-5
2018
853
342
353
none
Pasi, G., Viviani, M. (2018). Application of aggregation operators to assess the credibility of user-generated content in social media. In Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations (pp.342-353). Springer Verlag [10.1007/978-3-319-91473-2_30].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/208159
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